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Using large language models for preprocessing and information extraction from unstructured text: A proof-of-concept application in the social sciences
11 references·1 citing·48 second hop
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References

  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2014Positionality: Reflecting on the Research Process814 cited
  • 1996On Interobjectivity799 cited
  • 2023Out of One, Many: Using Language Models to Simulate Human Samples774 cited
  • 2023Can Large Language Models Transform Computational Social Science?582 cited
  • 2023Biases in Large Language Models: Origins, Inventory, and Discussion364 cited
  • 2023Text as Data: A New Framework for Machine Learning and the Social Sciences204 cited
  • 2023ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning152 cited
  • 2023Is AI leading to a reproducibility crisis in science?106 cited
  • 2025How to train your stochastic parrot: large language models for political texts45 cited
  • 2024A systematic evaluation of text mining methods for short texts: Mapping individuals’ internal states from online posts15 cited

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  • 2025Beyond self-report surveys: Leveraging multimodal large language models (MLLMs) for farmers market data harvesting from public digital resources1 cited

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